Pricing

from $10.20 / 1,000 results

US Patents Scraper - Assignee, Inventor & Classification

Scrape US patents by keyword, assignee company or inventor with title, abstract, grant, filing and priority dates, publication number, full inventor and assignee lists and CPC classification codes. Filter by publication date range. Export to JSON, CSV or Excel.

Pricing

from $10.20 / 1,000 results

Rating

0.0

(0)

Developer

Scrapers Lat

Actor stats

Bookmarked

Total users

Monthly active users

14 hours ago

Last modified

Categories

Developer tools

thumbnailUrl

Optional

Drawing thumbnail image URL

Type:

title

Optional

Patent title

Type:

publicationNumber

Optional

Publication number, e.g. US11074495B2

Type:

url

Optional

Patent page URL

Type:

countryCode

Optional

Country code, e.g. US

Type:

patentType

Optional

grant or application

Type:

kindCode

Optional

Kind code, e.g. B2, A1

Type:

abstract

Optional

Patent abstract text

Type:

snippet

Optional

Search result snippet

Type:

primaryAssignee

Optional

Primary assignee (owner)

Type:

assignees

Optional

All assignees

Type:

primaryInventor

Optional

Primary inventor

Type:

inventors

Optional

All inventors

Type:

priorityDate

Optional

Priority date

Type:

filingDate

Optional

Filing date

Type:

grantDate

Optional

Grant date

Type:

publicationDate

Optional

Publication date

Type:

primaryCpc

Optional

Primary CPC classification code

Type:

cpcSection

Optional

CPC section letter (A-H)

Type:

cpcCodes

Optional

All CPC classification codes

Type:

applicationNumber

Optional

Application number

Type:

legalStatus

Optional

Current legal status, e.g. Active, Granted, Expired, Pending

Type:

claimsCount

Optional

Number of claims

Type:

citedByCount

Optional

How many later patents cite this one

Type:

patentCitationsCount

Optional

Number of patent citations (prior art)

Type:

priorityApplicationsCount

Optional

Number of priority applications

Type:

nonPatentCitationsCount

Optional

Number of non-patent citations

Type:

pdfUrl

Optional

PDF document URL

Type:

language

Optional

Document language

Type:

queryLabel

Optional

Which search produced this record

Type:

source

Optional

Data source

Type:

observedAt

Optional

Scrape timestamp

Type:

error

Optional

Error, if any

Type:

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5.0

(11)

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